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Back propagation neural networks of different configurations are trained.

The ANN was trained using the back propagation algorithm.

Back propagation (BP) neural network error compensation heightens accuracy.

Training is based on back propagation with adaptive training parameters.

Algorithmic methods for decision rules: perceptrons, neural nets, and back propagation.

Description: In this video, Prof. Winston introduces neural nets and back propagation.

Following, back propagation starts.

Training phase: back propagation (BP).

Neural network with back propagation.

Such networks are often trained using back propagation algorithm.

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